CN113570289A - Account card object consistency management method and system based on improved dragonfly optimization algorithm - Google Patents

Account card object consistency management method and system based on improved dragonfly optimization algorithm Download PDF

Info

Publication number
CN113570289A
CN113570289A CN202111125813.XA CN202111125813A CN113570289A CN 113570289 A CN113570289 A CN 113570289A CN 202111125813 A CN202111125813 A CN 202111125813A CN 113570289 A CN113570289 A CN 113570289A
Authority
CN
China
Prior art keywords
equipment
dragonfly
individual
matrix
asset
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111125813.XA
Other languages
Chinese (zh)
Other versions
CN113570289B (en
Inventor
李俊辉
李永健
胡长华
詹婉琳
顾赟
陈国华
刘思麟
郑嘉欣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority to CN202111125813.XA priority Critical patent/CN113570289B/en
Publication of CN113570289A publication Critical patent/CN113570289A/en
Application granted granted Critical
Publication of CN113570289B publication Critical patent/CN113570289B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12—Accounting
    • G06Q40/125—Finance or payroll
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Finance (AREA)
  • General Business, Economics & Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Operations Research (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Technology Law (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The invention discloses a method and a system for managing consistency of account cards based on an improved dragonfly optimization algorithm, and relates to the technical field of asset management of power grid equipment. The matching efficiency and the matching accuracy of the consistency of the cards are improved, and meanwhile, the traceability can be returned to the equipment ledgers in the financial system and the asset system through the minimum difference scheme, so that the traceability is realized.

Description

Account card object consistency management method and system based on improved dragonfly optimization algorithm
Technical Field
The invention relates to the technical field of asset management of power grid equipment, in particular to an account card object consistency management method and system based on an improved dragonfly optimization algorithm.
Background
Because the electric power enterprises belong to asset-intensive enterprises, the asset management cost is high, and the information assets have the characteristics of various types, small volume and high price. Meanwhile, the problem of distorted asset inventory information also exists.
In order to tamp the effective asset base and improve the asset management and management efficiency, the power grid company requires that the consistency rate of IT asset account cards at least reaches over 90 percent.
However, because inventory checking work is difficult to operate, the related range is wide, and the assets mainly comprise: office computers, switches, routers and other equipment are distributed in all office places and substations. Meanwhile, due to the frequent replacement of team information managers of each department, the distortion of the standing accounts and the like, the consistency rate of the stock standing accounts is low, and the phenomenon of mismatching of the financial system standing accounts and the asset system standing accounts often occurs. Thus, asset inventory is a long and arduous task.
The asset system ledger is maintained by the equipment user, and the financial system ledger is maintained by corporate financial staff. Therefore, for the same project asset, two sets of different machine accounts can appear and belong to the asset system and the financial system respectively, wherein the asset system corresponds to the account, and the financial system corresponds to the card. The "account card object" consistency requires one-to-one correspondence between asset system accounts, financial system accounts and actual assets.
In the prior art, screening and matching are carried out manually, and the 'account card and object' consistent work is completed. The consistency matching of the account card is low due to the fact that the asset checking information is easy to distort; manual screening and matching are complicated, and matching accuracy is poor; meanwhile, for the problematic ledger, the manual work is difficult to further trace the source to improve the consistency.
Disclosure of Invention
The invention provides a method and a system for managing consistency of account card objects based on an improved dragonfly optimization algorithm, which are used for solving the technical problems of low matching efficiency of the consistency of the account card objects, poor matching accuracy and difficulty in tracing.
In view of the above, the first aspect of the present invention provides a method for managing consistency of account card objects based on an improved dragonfly optimization algorithm, comprising the following steps:
acquiring equipment information, wherein the equipment information comprises all equipment and corresponding equipment names, types and models thereof;
establishing an equipment matrix based on the equipment information, wherein each element in the equipment matrix corresponds to equipment and the name, type and model of the equipment corresponding to the equipment;
acquiring the total number of each device in the device matrix in the asset system based on the asset system, and acquiring the total number of projects and the number of each device contained in each project based on the financial system;
establishing an asset device quantity matrix based on the total number of the devices in the device matrix in the asset system;
establishing a project equipment quantity matrix based on the total number of projects and the quantity of each equipment contained in each project;
establishing an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, wherein the equipment quantity consistency problem function is that the sum of all equipment contained in each project in the financial system is equal to the total number of the corresponding equipment in the asset system;
converting the equipment quantity consistency problem function into an optimization problem function for solving a minimum value of quantity errors;
solving the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm so as to obtain a device quantity consistency scheme corresponding to the minimum value of the quantity error, wherein the device quantity consistency scheme comprises that each item in the financial system comprises the sum of each device and the total number of each corresponding device in the asset system.
Optionally, the device number consistency problem function is expressed as:
Figure 70431DEST_PATH_IMAGE001
equation 1
Wherein m represents the total number of items, b il Indicates that the ith item includes the th itemlNumber of individual devices, b l Is shown aslThe total number of devices in the asset system.
Optionally, the optimization problem function is expressed as:
Figure 717444DEST_PATH_IMAGE002
equation 2
In the formula (I), the compound is shown in the specification,
Figure 605766DEST_PATH_IMAGE003
indicating a quantity error minimum and n indicating a total number of device types.
Optionally, the step of solving the minimum value of the number error of the optimization problem function based on the dragonfly optimization algorithm specifically includes:
initializing basic parameters of the dragonfly optimization algorithm, wherein the basic parameters comprise the number of dragonfly search agents, preset maximum evolution times, inertia parameters of dragonfly flight and preset neighborhood radius among dragonfly individuals;
randomly generating dragonfly group positions and step size vectors;
setting the initial value of the iteration times t as 1, taking the optimization problem function as an adaptive function, substituting the positions of the dragonfly individuals into the adaptive function one by one, and calculating corresponding adaptive values;
if the iteration time t is more than or equal to 2, a greedy strategy formula is adopted to construct a new dragonfly individual, and the position information of the dragonfly individual under the current iteration time is calculated by combining the dragonfly individual under the current iteration time, wherein the greedy strategy formula is as follows:
Figure 425954DEST_PATH_IMAGE004
equation 3
In the formula (I), the compound is shown in the specification,
Figure 778438DEST_PATH_IMAGE005
representing the position of the individual dragonfly at the current iteration number,
Figure 658670DEST_PATH_IMAGE006
the coefficient of variation is expressed as a function of,
Figure 768708DEST_PATH_IMAGE007
the position of the individual dragonfly corresponding to the minimum fitness value at the previous iteration number is represented,
Figure 392587DEST_PATH_IMAGE008
the position of the dragonfly individual corresponding to the maximum fitness value under the previous iteration times is represented;
respectively updating the collision position, the pairing position, the gathering position, the foraging position and the enemy-avoiding position of the dragonfly individual by adopting the following formulas;
Figure 865157DEST_PATH_IMAGE009
equation 4
Figure 916290DEST_PATH_IMAGE010
Equation 5
Figure 525343DEST_PATH_IMAGE011
Equation 6
Figure 952913DEST_PATH_IMAGE012
Equation 7
Figure 14410DEST_PATH_IMAGE013
Equation 8
In the formula, SiDenotes a collision position of the ith individual dragonfly, N denotes the number of dragonfly search agents, X denotes a position at which the current individual dragonfly flies, and X denotes a position of the current individual dragonflyjIndicates the position of the jth adjacent dragonfly when flying, AiIndicates the knot position of the ith dragonfly individual, VjIs the flight speed of the jth adjacent dragonfly individual, CiRepresents the aggregate position of the ith dragonfly individual, FiShows the foraging position of the ith dragonfly individual, EiIndicates the position of the natural enemy of the ith dragonfly individual, X+Showing the location of the food source for the dragonfly individual, X-The position of a natural enemy met by the dragonfly individual is represented;
if the ith dragonfly individual at least has one dragonfly individual in the preset neighborhood radius, calculating the step vector and the position vector of the ith dragonfly individual by adopting a formula 9 and a formula 10, and if the ith dragonfly individual does not have the dragonfly individual in the preset neighborhood radius, calculating the position vector of the ith dragonfly individual by adopting a formula 11:
Figure 236444DEST_PATH_IMAGE014
equation 9
Figure 586654DEST_PATH_IMAGE015
Equation 10
Figure 552336DEST_PATH_IMAGE017
Equation 11
In the formula (I), the compound is shown in the specification,
Figure 406022DEST_PATH_IMAGE018
denotes the t-thA sub-step length vector is generated,
Figure 595695DEST_PATH_IMAGE019
represents the step vector of the t +1 th generation,wrepresenting inertia parameters of dragonfly flight, s representing preset weight for collision avoidance, a representing preset weight for formation, c representing aggregated preset weight, f representing food factor, e representing natural enemy factor,
Figure 698781DEST_PATH_IMAGE020
represents the position of the dragonfly individual in the t +1 th generation when flying,
Figure 202574DEST_PATH_IMAGE021
the position of the dragonfly individual in the tth generation is represented, and m represents the dimension of a position vector when the dragonfly group flies;
and enabling the iteration time t = t +1, if the iteration time t is less than the preset maximum evolution time, continuously executing the step of substituting the positions of the individual dragonflies into the adaptability function one by one, calculating the corresponding adaptability value until the iteration time t is equal to the preset maximum evolution time, finishing the iteration, outputting the corresponding adaptability value, and taking the output adaptability value as the minimum value of the number error.
In a second aspect, the present invention further provides an account card consistency management system based on an improved dragonfly optimization algorithm, including:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring device information, and the device information comprises all devices and device names, types and models corresponding to the devices;
the equipment matrix module is used for establishing an equipment matrix based on the equipment information, and each element in the equipment matrix corresponds to equipment and the name, type and model of the equipment corresponding to the equipment;
the equipment quantity acquisition module is used for acquiring the total number of each equipment in the equipment matrix in the asset system based on the asset system and acquiring the total number of projects and the quantity of each equipment contained in each project based on the financial system;
the asset equipment quantity matrix module is used for establishing an asset equipment quantity matrix based on the total number of all equipment in the equipment matrix in the asset system;
the project equipment quantity matrix module is used for establishing a project equipment quantity matrix based on the total number of projects and the quantity of each piece of equipment contained in each project;
a consistency function module, configured to establish an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, where the equipment quantity consistency problem function is that, for each project in the financial system, a sum of equipment is equal to a total number of corresponding equipment in the asset system;
the function conversion module is used for converting the equipment quantity consistency problem function into an optimization problem function for solving the minimum value of the quantity error;
and the scheme output module is used for solving the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm so as to obtain an equipment quantity consistency scheme corresponding to the minimum value of the quantity error, wherein the equipment quantity consistency scheme comprises that each item in the financial system comprises the sum of each piece of equipment and the total number of each piece of corresponding equipment in the asset system.
According to the technical scheme, the invention has the following advantages:
the invention builds an equipment matrix, an asset equipment quantity matrix and a project equipment quantity matrix by mining the data of each equipment in the financial system and the asset system, builds an equipment quantity consistency problem function by the asset equipment quantity matrix and the project equipment quantity matrix, converts the account and card consistency problem into a matching problem of each project in the financial system, including the sum of each equipment and the total number of each corresponding equipment in the asset system, and converts the equipment quantity consistency problem function into an optimization problem with the minimum quantity error as the target, thereby obtaining the difference of the equipment quantity between the financial system and the asset system, and solves the optimization problem by a dragonfly optimization algorithm to find the minimum difference scheme. Therefore, manual screening and matching work is replaced, the card consistency matching efficiency and matching accuracy are improved, meanwhile, due to the fact that the equipment matrix is established, the source can be backwards traced to the equipment accounts in the financial system and the asset system through the minimum difference scheme, the tracing is achieved, and then inconsistent places can be quickly searched and corrected.
Drawings
Fig. 1 is a flowchart of an account card consistency management method based on an improved dragonfly optimization algorithm according to an embodiment of the present invention;
fig. 2 is a block diagram of an account card consistency management system based on an improved dragonfly optimization algorithm according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the prior art, screening and matching are carried out manually, and the 'account card and object' consistent work is completed. The consistency matching of the account card is low due to the fact that the asset checking information is easy to distort; manual screening and matching are complicated, and matching accuracy is poor; meanwhile, for the problematic ledger, the manual work is difficult to further trace the source to improve the consistency.
It should be noted that the financial system takes the actual financial expenditure items as the minimum unit; the asset system takes the actual asset device as the minimum unit. For example, the actual purchase cost of hardware of a certain project A is 10 thousands, 10 associated computers and 5 switches are purchased. Only displaying the record information in the financial system, namely spending one hundred thousand for the project A; and the 10 associative computers and 5 exchange ledger information are recorded in the asset system by an asset actual use unit. The "account card" works in unison, i.e. the 10 mentioned association computers and 5 switches in the huge assets of the asset system are needed to be associated with the project in the financial system.
Therefore, referring to fig. 1, the method for managing the consistency of the account card object based on the improved dragonfly optimization algorithm provided by the invention comprises the following steps:
s1, acquiring equipment information, wherein the equipment information comprises all equipment and the corresponding equipment names, types and models;
s2, establishing an equipment matrix based on the equipment information, wherein each element in the equipment matrix corresponds to equipment and the name, type and model of the equipment corresponding to the element;
s3, acquiring the total number of each device in the device matrix in the asset system based on the asset system, and acquiring the total number of projects and the number of each device contained in each project based on the financial system;
s4, establishing an asset equipment quantity matrix based on the total number of each equipment in the equipment matrix in the asset system;
s5, establishing a project equipment quantity matrix based on the total number of projects and the quantity of each equipment contained in each project;
s6, establishing an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, wherein the equipment quantity consistency problem function is that each project in the financial system contains the sum of all equipment and is equal to the total number of the corresponding equipment in the asset system;
s7, converting the equipment quantity consistency problem function into an optimization problem function for solving the minimum value of the quantity error;
s8, solving the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm, and thus obtaining a device quantity consistency scheme corresponding to the minimum value of the quantity error, wherein the device quantity consistency scheme comprises that each item in the financial system comprises the sum of each device and the total number of each corresponding device in the asset system.
It should be noted that, the invention provides a method for managing the consistency of the account card object based on the improved dragonfly optimization algorithm, which is implemented by data mining of each device in the financial system and the asset system, thereby establishing an equipment matrix, an asset equipment quantity matrix and a project equipment quantity matrix, establishing an equipment quantity consistency problem function through the asset equipment quantity matrix and the project equipment quantity matrix, thereby converting the account and card consistency problem into a matching problem between the sum of all the devices contained in each item in the financial system and the total number of the corresponding all the devices in the asset system, and converts the equipment quantity consistency problem function into an optimization problem targeting the minimum value of the quantity error, therefore, the difference of the number of the devices between the financial system and the asset system is obtained, the optimization problem is solved through a dragonfly optimization algorithm, and a minimum difference scheme is found. Therefore, manual screening and matching work is replaced, the card consistency matching efficiency and matching accuracy are improved, meanwhile, due to the fact that the equipment matrix is established, the source can be backwards traced to the equipment accounts in the financial system and the asset system through the minimum difference scheme, the tracing is achieved, and then inconsistent places can be quickly searched and corrected.
The following is a detailed description of an embodiment of the account card consistency management method based on the improved dragonfly optimization algorithm provided by the invention.
The invention provides an account card consistency management method based on an improved dragonfly optimization algorithm, which comprises the following steps:
s100, acquiring equipment information, wherein the equipment information comprises all equipment and corresponding equipment names, types and models;
it should be noted that the source of the device information acquisition may be the asset system and the financial system, while it is as non-overlapping as possible, and traversing all possible devices.
S200, establishing an equipment matrix based on the equipment information, wherein each element in the equipment matrix corresponds to equipment and the name, type and model of the equipment corresponding to the element;
in this embodiment, the device matrix is defined as
Figure 504243DEST_PATH_IMAGE022
Wherein n represents the total number of devices, a1，a2Etc. respectively represent devices of different models, different device names. Example (c): suppose there are 3 devices, respectively, a1: AIO520X Max Intel core i 727 inch integrated desktop; a is2: association ThinkCentreE97 i3 10100/4GB/1TB；a3: the Yutai UT-62206SM industrial network switch has the device matrix of
Figure 536921DEST_PATH_IMAGE023
。
The equipment matrix defines an equipment list, so that the subsequent price matrix and quantity matrix can be conveniently in one-to-one correspondence with the equipment.
S300, acquiring the total number of each device in the device matrix in the asset system based on the asset system, and acquiring the total number of projects and the number of each device contained in each project based on the financial system;
s400, establishing an asset equipment quantity matrix based on the total number of each equipment in the equipment matrix in the asset system;
in this embodiment, the asset device quantity matrix, is denoted
Figure 127302DEST_PATH_IMAGE024
In the formula, b l Is shown aslThe total number of devices in the asset system,
Figure 434787DEST_PATH_IMAGE025
。
s500, establishing a project equipment quantity matrix based on the total number of projects and the quantity of each equipment contained in each project;
in this embodiment, the matrix of the number of project devices, is recorded as
Figure 325382DEST_PATH_IMAGE026
In the formula, b il Indicates that the ith item includes the th itemlThe number of the individual devices is such that,
Figure 60120DEST_PATH_IMAGE025
。
s600, establishing an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, wherein the equipment quantity consistency problem function is that each project in the financial system contains the sum of all equipment and is equal to the sum of all corresponding equipment in the asset system;
in this embodiment, the device number consistency problem function is expressed as:
Figure 606639DEST_PATH_IMAGE001
equation 1
Wherein m represents the total number of items, b il Indicates that the ith item includes the th itemlNumber of individual devices, b l Is shown aslThe total number of devices in the asset system.
It should be noted that the account card consistency problem is to check the number of each device in the financial system and the number of each corresponding device in the asset system to match, and the quantity consistency problem function is an assumed equation.
S700, converting the equipment quantity consistency problem function into an optimization problem function for solving the minimum value of the quantity error;
it should be noted that, because there are many devices, that is, the matrix dimension is too high, for this reason, the embodiment converts the device quantity consistency problem function into the optimization problem function for solving the minimum value of the quantity error, so that when the quantity error is minimum, each item in the obtained financial system may include the sum of each device and a consistency scheme in which the total number of the corresponding devices in the asset system is optimal.
In this embodiment, the optimization problem function is represented as:
Figure 780131DEST_PATH_IMAGE002
equation 2
In the formula (I), the compound is shown in the specification,
Figure 462917DEST_PATH_IMAGE003
indicating a quantity error minimum and n indicating a total number of device types.
It can be understood that in equation 2
Figure 571818DEST_PATH_IMAGE003
The smaller the value is,the higher the "debit card object" agreement rate can be considered.
And S800, solving the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm to obtain an equipment quantity consistency scheme corresponding to the minimum value of the quantity error, wherein the equipment quantity consistency scheme comprises that each item in the financial system comprises the sum of each piece of equipment and the total number of each piece of corresponding equipment in the asset system.
It should be noted that, when the output minimum value result of the quantity error is minimum, that is, the matching rate is the highest, the corresponding specific data of the equipment matrix, the asset equipment quantity matrix, and the project equipment quantity matrix is the scheme with the highest consistency of the "debit card object".
In this embodiment, the step of solving the minimum value of the number error of the optimization problem function based on the dragonfly optimization algorithm in step S800 specifically includes:
s801, initializing basic parameters of a dragonfly optimization algorithm, wherein the basic parameters comprise the number of dragonfly search agents, preset maximum evolution times, inertia parameters of dragonfly flight and neighborhood radius among dragonfly individuals;
s802, randomly generating dragonfly group positions and step size vectors;
s803, setting the initial value of the iteration times t as 1, taking an optimization problem function as an adaptive function, substituting the positions of the individual dragonflies into the adaptive function one by one, and calculating corresponding adaptive values;
s804, if the iteration time t is larger than or equal to 2, a greedy strategy formula is adopted to construct a new dragonfly individual, and the position information of the dragonfly individual under the current iteration time is calculated by combining the dragonfly individual under the current iteration time, wherein the greedy strategy formula is as follows:
Figure 340054DEST_PATH_IMAGE027
equation 3
In the formula (I), the compound is shown in the specification,
Figure 254920DEST_PATH_IMAGE005
representing the position of the individual dragonfly at the current iteration number,
Figure 57791DEST_PATH_IMAGE006
the coefficient of variation is expressed as a function of,
Figure 134332DEST_PATH_IMAGE007
the position of the individual dragonfly corresponding to the minimum fitness value at the previous iteration number is represented,
Figure 655443DEST_PATH_IMAGE008
the position of the dragonfly individual corresponding to the maximum fitness value under the previous iteration times is represented;
it should be noted that by using the greedy strategy, the first fifty percent can be retained, thereby providing diversity of the current evolution algebra. Wherein the coefficients
Figure 905159DEST_PATH_IMAGE006
The coefficient is a variation coefficient, and the algorithm is slow in variation in the early stage of optimization and fast in searching speed by adjusting the coefficient; the later variation is large, and local optimum is easy to jump out.
S805, respectively updating the collision position, the pairing position, the gathering position, the foraging position and the enemy-avoiding position of the dragonfly individual by adopting the following formulas;
Figure 562536DEST_PATH_IMAGE028
equation 4
Figure 75557DEST_PATH_IMAGE029
Equation 5
Figure 83964DEST_PATH_IMAGE030
Equation 6
Figure 809475DEST_PATH_IMAGE012
Equation 7
Figure 649255DEST_PATH_IMAGE013
Equation 8
In the formula, SiDenotes a collision position of the ith individual dragonfly, N denotes the number of dragonfly search agents, X denotes a position at which the current individual dragonfly flies, and X denotes a position of the current individual dragonflyjIndicates the position of the jth adjacent dragonfly when flying, AiIndicates the knot position of the ith dragonfly individual, VjIs the flight speed of the jth adjacent dragonfly individual, CiRepresents the aggregate position of the ith dragonfly individual, FiShows the foraging position of the ith dragonfly individual, EiIndicates the position of the natural enemy of the ith dragonfly individual, X+Showing the location of the food source for the dragonfly individual, X-The position of a natural enemy met by the dragonfly individual is represented;
it should be noted that the collision avoidance position update is to generate no collision with surrounding or adjacent (not within the range of the adjacent threshold) dragonfly individuals as much as possible; the updating of the position of the formation is that a plurality of dragonfly formations fly, and the individuals are connected with each other at the same uniform speed; the aggregate position is updated in such a way that a plurality of dragonflies are close to a certain dragonfly and the individuals fly at equal intervals; the foraging position is updated by finding the food as much as possible and closing the food to the position of the food; the positions of the enemy-avoiding objects are updated as few as possible to meet the natural enemies and are scattered around the natural enemies.
S806, if the ith individual dragonfly has at least one individual dragonfly within the preset neighborhood radius, calculating a step vector and a position vector of the ith individual dragonfly using formula 9 and formula 10, and if the ith individual dragonfly does not have an individual dragonfly within the preset neighborhood radius, calculating a position vector of the ith individual dragonfly using formula 11:
Figure 333177DEST_PATH_IMAGE031
equation 9
Figure 563301DEST_PATH_IMAGE015
Equation 10
Figure 420399DEST_PATH_IMAGE032
Equation 11
In the formula (I), the compound is shown in the specification,
Figure 52368DEST_PATH_IMAGE018
represents the t-th generation of the step vector,
Figure 641613DEST_PATH_IMAGE019
represents the step vector of the t +1 th generation,wrepresenting inertia parameters of dragonfly flight, s representing preset weight for collision avoidance, a representing preset weight for formation, c representing aggregated preset weight, f representing food factor, e representing natural enemy factor,
Figure 359033DEST_PATH_IMAGE020
represents the position of the dragonfly individual in the t +1 th generation when flying,
Figure 895188DEST_PATH_IMAGE021
the position of the dragonfly individual in the tth generation is represented, and m represents the dimension of a position vector when the dragonfly group flies;
note that, in general: w is 0.9-0.2, s is 0.1, a is 0.1, c is 0.7, f is 1, and e is 1.
The Le' vy function may be considered as an abnormally large displacement distance that an individual in a dragonfly population can occasionally fly, thereby changing the behavior of the entire population.
Figure 294246DEST_PATH_IMAGE033
In the formula, r1And r2Is [0,1 ]]The random number of the inner part of the random number,
Figure 585550DEST_PATH_IMAGE034
to do so
Figure DEST_PATH_IMAGE035
And S807, enabling the iteration time t = t +1, if the iteration time t is less than the preset maximum evolution time, continuously executing the step of substituting the positions of the individual dragonflies into the adaptability function one by one, calculating the corresponding adaptability value, ending the iteration until the iteration time t is equal to the preset maximum evolution time, outputting the corresponding adaptability value, and taking the output adaptability value as the minimum value of the number error.
In a specific implementation example, after the device number consistency scheme is obtained, the scheme is verified, specifically:
traversing the device matrix to obtain the price of each device, establishing a device price matrix, and recording the device price matrix as
Figure 665633DEST_PATH_IMAGE036
Each element represents the price of each device, and a financial system item matrix (namely a card matrix) is established based on the number of the financial system existing item cards and the total price of different items in the financial system acquired by the financial system
Figure 802216DEST_PATH_IMAGE037
Each element represents the price of each device, and a financial system item matrix (namely a card matrix) is established based on the number of the financial system existing item cards and the total price of different items in the financial system acquired by the financial system
Figure DEST_PATH_IMAGE038
。
The price equation function is characterized in that the product of the financial system equipment quantity and the unit price is the total asset of a single item of the financial system, after the equipment quantity consistency scheme is obtained, the sum of all equipment contained in each item is substituted into the price equation function, and if the product result of the financial system equipment quantity and the unit price is closer to the total asset of the single item of the financial system, the accuracy of the equipment quantity consistency scheme is higher.
As shown in fig. 2, the present invention further provides an account card consistency management system based on the improved dragonfly optimization algorithm, including:
an obtaining module 100, configured to obtain device information, where the device information includes all devices and device names, types, and models corresponding to the devices;
the device matrix module 200 is configured to establish a device matrix based on the device information, where each element in the device matrix corresponds to a device and a name, a type, and a model of the device corresponding to the device;
the equipment number obtaining module 300 is configured to obtain, based on the asset system, a total number of each equipment in the equipment matrix in the asset system, and obtain, based on the financial system, a total number of projects and a number of each equipment included in each project;
an asset device number matrix module 400 configured to establish an asset device number matrix based on a total number of devices in the device matrix in the asset system;
a quantity matrix module 500 for the item devices, configured to establish a quantity matrix for the item devices based on the total number of items and the quantity of each device included in each item;
a consistency function module 600, configured to establish an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, where the equipment quantity consistency problem function is that, for each project in the financial system, a sum of equipment included in each project equals to a total number of corresponding equipment in the asset system;
a function conversion module 700, configured to convert the device quantity consistency problem function into an optimization problem function for solving a minimum value of the quantity error;
and the plan output module 800 is configured to solve the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm, so as to obtain an equipment quantity consistency plan corresponding to the minimum value of the quantity error, where the equipment quantity consistency plan includes that each item in the financial system includes a sum of each piece of equipment and a total number of each piece of corresponding equipment in the asset system.
It should be noted that the working process of the account card consistency management system based on the improved dragonfly optimization algorithm provided by the present invention is consistent with the flow of the account card consistency management method based on the improved dragonfly optimization algorithm provided by the above embodiment, and details are not repeated herein.
The invention provides an account card object consistency management system based on an improved dragonfly optimization algorithm, which is characterized in that by carrying out data mining on each device in a financial system and an asset system, thereby establishing an equipment matrix, an asset equipment quantity matrix and a project equipment quantity matrix, establishing an equipment quantity consistency problem function through the asset equipment quantity matrix and the project equipment quantity matrix, thereby converting the account and card consistency problem into a matching problem between the sum of all the devices contained in each item in the financial system and the total number of the corresponding all the devices in the asset system, and converts the equipment quantity consistency problem function into an optimization problem targeting the minimum value of the quantity error, therefore, the difference of the number of the devices between the financial system and the asset system is obtained, the optimization problem is solved through a dragonfly optimization algorithm, and a minimum difference scheme is found. Therefore, manual screening and matching work is replaced, the card consistency matching efficiency and matching accuracy are improved, meanwhile, due to the fact that the equipment matrix is established, the source can be backwards traced to the equipment accounts in the financial system and the asset system through the minimum difference scheme, the tracing is achieved, and then inconsistent places can be quickly searched and corrected.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (5)

1. An account card consistency management method based on an improved dragonfly optimization algorithm is characterized by comprising the following steps:
acquiring equipment information, wherein the equipment information comprises all equipment and corresponding equipment names, types and models thereof;
establishing an equipment matrix based on the equipment information, wherein each element in the equipment matrix corresponds to equipment and the name, type and model of the equipment corresponding to the equipment;
acquiring the total number of each device in the device matrix in the asset system based on the asset system, and acquiring the total number of projects and the number of each device contained in each project based on the financial system;
establishing an asset device quantity matrix based on the total number of the devices in the device matrix in the asset system;
establishing a project equipment quantity matrix based on the total number of projects and the quantity of each equipment contained in each project;
establishing an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, wherein the equipment quantity consistency problem function is that the sum of all equipment contained in each project in the financial system is equal to the total number of the corresponding equipment in the asset system;
converting the equipment quantity consistency problem function into an optimization problem function for solving a minimum value of quantity errors;
solving the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm so as to obtain a device quantity consistency scheme corresponding to the minimum value of the quantity error, wherein the device quantity consistency scheme comprises that each item in the financial system comprises the sum of each device and the total number of each corresponding device in the asset system.
2. The method for managing the identity of an account card based on the improved dragonfly optimization algorithm according to claim 1, wherein the problem function of the identity of the number of devices is expressed as:
Figure 599331DEST_PATH_IMAGE001
equation 1
Wherein m represents the total number of items, b il Indicates that the ith item includes the th itemlNumber of individual devices, b l Is shown aslThe total number of devices in the asset system.
3. The method for managing the consistency of account cards based on the improved dragonfly optimization algorithm according to claim 2, wherein the optimization problem function is expressed as:
Figure 516472DEST_PATH_IMAGE002
equation 2
In the formula (I), the compound is shown in the specification,
Figure 233892DEST_PATH_IMAGE003
indicating a quantity error minimum and n indicating a total number of device types.
4. The account card consistency management method based on the improved dragonfly optimization algorithm as claimed in claim 1 or 3, wherein the step of solving the minimum value of the number error of the optimization problem function based on the dragonfly optimization algorithm specifically comprises:
initializing basic parameters of the dragonfly optimization algorithm, wherein the basic parameters comprise the number of dragonfly search agents, preset maximum evolution times, inertia parameters of dragonfly flight and preset neighborhood radius among dragonfly individuals;
randomly generating dragonfly group positions and step size vectors;
setting the initial value of the iteration times t as 1, taking the optimization problem function as an adaptive function, substituting the positions of the dragonfly individuals into the adaptive function one by one, and calculating corresponding adaptive values;
if the iteration time t is more than or equal to 2, a greedy strategy formula is adopted to construct a new dragonfly individual, and the position information of the dragonfly individual under the current iteration time is calculated by combining the dragonfly individual under the current iteration time, wherein the greedy strategy formula is as follows:
Figure 566784DEST_PATH_IMAGE004
equation 3
In the formula (I), the compound is shown in the specification,
Figure 381156DEST_PATH_IMAGE005
representing the position of the individual dragonfly at the current iteration number,
Figure 141302DEST_PATH_IMAGE006
the coefficient of variation is expressed as a function of,
Figure 549281DEST_PATH_IMAGE007
the position of the individual dragonfly corresponding to the minimum fitness value at the previous iteration number is represented,
Figure 482602DEST_PATH_IMAGE008
the position of the dragonfly individual corresponding to the maximum fitness value under the previous iteration times is represented;
respectively updating the collision position, the pairing position, the gathering position, the foraging position and the enemy-avoiding position of the dragonfly individual by adopting the following formulas;
Figure 89163DEST_PATH_IMAGE009
equation 4
Figure 223473DEST_PATH_IMAGE010
Equation 5
Figure 712223DEST_PATH_IMAGE011
Equation 6
Figure 449235DEST_PATH_IMAGE012
Equation 7
Figure 910303DEST_PATH_IMAGE013
Equation 8
In the formula, SiDenotes a collision position of the ith individual dragonfly, N denotes the number of dragonfly search agents, X denotes a position at which the current individual dragonfly flies, and X denotes a position of the current individual dragonflyjIndicates the position of the jth adjacent dragonfly when flying, AiIndicates the knot position of the ith dragonfly individual, VjIs the flight speed of the jth adjacent dragonfly individual, CiRepresents the aggregate position of the ith dragonfly individual, FiShows the foraging position of the ith dragonfly individual, EiIndicates the position of the natural enemy of the ith dragonfly individual, X+Showing the location of the food source for the dragonfly individual, X-The position of a natural enemy met by the dragonfly individual is represented;
if the ith dragonfly individual at least has one dragonfly individual in the preset neighborhood radius, calculating the step vector and the position vector of the ith dragonfly individual by adopting a formula 9 and a formula 10, and if the ith dragonfly individual does not have the dragonfly individual in the preset neighborhood radius, calculating the position vector of the ith dragonfly individual by adopting a formula 11:
Figure 277830DEST_PATH_IMAGE014
equation 9
Figure 519456DEST_PATH_IMAGE015
Equation 10
Figure 732263DEST_PATH_IMAGE016
Equation 11
In the formula (I), the compound is shown in the specification,
Figure 516679DEST_PATH_IMAGE017
represents the t-th generation of the step vector,
Figure 586266DEST_PATH_IMAGE018
represents the step vector of the t +1 th generation,wrepresenting inertia parameters of dragonfly flight, s representing preset weight for collision avoidance, a representing preset weight for formation, c representing aggregated preset weight, f representing food factor, e representing natural enemy factor,
Figure 315188DEST_PATH_IMAGE019
represents the position of the dragonfly individual in the t +1 th generation when flying,
Figure 331685DEST_PATH_IMAGE020
the position of the dragonfly individual in the tth generation is represented, and m represents the dimension of a position vector when the dragonfly group flies;
and enabling the iteration time t = t +1, if the iteration time t is less than the preset maximum evolution time, continuously executing the step of substituting the positions of the individual dragonflies into the adaptability function one by one, calculating the corresponding adaptability value until the iteration time t is equal to the preset maximum evolution time, finishing the iteration, outputting the corresponding adaptability value, and taking the output adaptability value as the minimum value of the number error.
5. An account card consistency management system based on an improved dragonfly optimization algorithm is characterized by comprising the following components:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring device information, and the device information comprises all devices and device names, types and models corresponding to the devices;
the equipment matrix module is used for establishing an equipment matrix based on the equipment information, and each element in the equipment matrix corresponds to equipment and the name, type and model of the equipment corresponding to the equipment;
the equipment quantity acquisition module is used for acquiring the total number of each equipment in the equipment matrix in the asset system based on the asset system and acquiring the total number of projects and the quantity of each equipment contained in each project based on the financial system;
the asset equipment quantity matrix module is used for establishing an asset equipment quantity matrix based on the total number of all equipment in the equipment matrix in the asset system;
the project equipment quantity matrix module is used for establishing a project equipment quantity matrix based on the total number of projects and the quantity of each piece of equipment contained in each project;
a consistency function module, configured to establish an equipment quantity consistency problem function based on the asset equipment quantity matrix and the project equipment quantity matrix, where the equipment quantity consistency problem function is that, for each project in the financial system, a sum of equipment is equal to a total number of corresponding equipment in the asset system;
the function conversion module is used for converting the equipment quantity consistency problem function into an optimization problem function for solving the minimum value of the quantity error;
and the scheme output module is used for solving the minimum value of the quantity error of the optimization problem function based on a dragonfly optimization algorithm so as to obtain an equipment quantity consistency scheme corresponding to the minimum value of the quantity error, wherein the equipment quantity consistency scheme comprises that each item in the financial system comprises the sum of each piece of equipment and the total number of each piece of corresponding equipment in the asset system.
CN202111125813.XA 2021-09-26 2021-09-26 Account card object consistency management method and system based on improved dragonfly optimization algorithm Active CN113570289B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111125813.XA CN113570289B (en) 2021-09-26 2021-09-26 Account card object consistency management method and system based on improved dragonfly optimization algorithm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111125813.XA CN113570289B (en) 2021-09-26 2021-09-26 Account card object consistency management method and system based on improved dragonfly optimization algorithm

Publications (2)

Publication Number Publication Date
CN113570289A true CN113570289A (en) 2021-10-29
CN113570289B CN113570289B (en) 2022-01-25

Family

ID=78174473

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111125813.XA Active CN113570289B (en) 2021-09-26 2021-09-26 Account card object consistency management method and system based on improved dragonfly optimization algorithm

Country Status (1)

Country Link
CN (1) CN113570289B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008176759A (en) * 2006-12-22 2008-07-31 Hitachi Ltd Operation consistency maintenance method, system and program
CN107506863A (en) * 2017-08-25 2017-12-22 国家电网公司 One kind is based on big data power network physical assets O＆M cost of overhaul Forecasting Methodology
CN108519347A (en) * 2018-04-10 2018-09-11 中北大学 A kind of infrared spectrum Wavelength selecting method based on binary system dragonfly algorithm
CN112327997A (en) * 2020-10-29 2021-02-05 国网宁夏电力有限公司电力科学研究院 Photovoltaic global maximum power tracking control method based on improved dragonfly algorithm
CN112365938A (en) * 2020-09-21 2021-02-12 贵州电网有限责任公司 Method for realizing power grid IT asset data management by adopting block chain technology
JP2021096503A (en) * 2019-12-13 2021-06-24 株式会社日立製作所 Electronic asset management method and electronic asset management device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008176759A (en) * 2006-12-22 2008-07-31 Hitachi Ltd Operation consistency maintenance method, system and program
CN107506863A (en) * 2017-08-25 2017-12-22 国家电网公司 One kind is based on big data power network physical assets O＆M cost of overhaul Forecasting Methodology
CN108519347A (en) * 2018-04-10 2018-09-11 中北大学 A kind of infrared spectrum Wavelength selecting method based on binary system dragonfly algorithm
JP2021096503A (en) * 2019-12-13 2021-06-24 株式会社日立製作所 Electronic asset management method and electronic asset management device
CN112365938A (en) * 2020-09-21 2021-02-12 贵州电网有限责任公司 Method for realizing power grid IT asset data management by adopting block chain technology
CN112327997A (en) * 2020-10-29 2021-02-05 国网宁夏电力有限公司电力科学研究院 Photovoltaic global maximum power tracking control method based on improved dragonfly algorithm

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
席少辉等: "大型有限缓冲生产线的设备优化配置方法", 《计算机集成制造系统》 *
应俊等: "基于RFID技术的固定资产管理系统", 《数字通信》 *
杨琨等: "电改背景下电网企业账卡物一致管理策略研究", 《机电信息》 *
王丽娟: "固定资产帐卡物一致性全过程管理", 《经贸实践》 *
鲍小丽等: "基于改进蜻蜓算法的多阈值彩色图像分割", 《计算机应用与软件》 *

Also Published As

Publication number Publication date
CN113570289B (en) 2022-01-25

Similar Documents

Publication Publication Date Title
Cai et al. Real-time bidding by reinforcement learning in display advertising
Datseris et al. Agents. jl: a performant and feature-full agent-based modeling software of minimal code complexity
CN104813320B (en) The system and method for handling digital communication metric
CN109697641A (en) The method and apparatus for calculating commodity similarity
Song et al. Community detection using discrete bat algorithm
CN110033097A (en) The method and device of the incidence relation of user and article is determined based on multiple data fields
WO2021197223A1 (en) Model compression method, system, terminal, and storage medium
CN109961198A (en) Related information generation method and device
CN105094515A (en) Business problem networking system and tool
CN110110172A (en) Information displaying method and device
CN107291745A (en) The management method and device of a kind of data target
CN108073672A (en) Business object recommends method, apparatus and electronic equipment
CN104735045A (en) Directing Communications To Nodes Of Social Network Using Elastic Map
CN108770002A (en) Base station flow analysis method, device, equipment and storage medium
CN106874931B (en) User portrait clustering method and device
CN113570289B (en) Account card object consistency management method and system based on improved dragonfly optimization algorithm
CN114723535A (en) Supply chain and knowledge graph-based item recommendation method, equipment and medium
CN113706263A (en) Electronic commerce system based on cloud platform
CN110362583A (en) A kind of data processing method and device for multi-data source
CN112950321A (en) Article recommendation method and device
US10748104B2 (en) System and method of parallelizing order-by-order planning
Ulkhaq et al. Predicting customer churn: A comparison of eight machine learning techniques: A case study in an Indonesian telecommunication company
CN110400204A (en) A kind of method and apparatus of buying
US20160292300A1 (en) System and method for fast network queries
CN109523246A (en) Subscriber payment channel method and device for planning

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant